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Topological Regularization via Persistence-Sensitive Optimization
Optimization, a key tool in machine learning and statistics, relies on r...
11/10/2020 ∙ by Arnur Nigmetov, et al. ∙
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Efficient Approximation of the Matching Distance for 2-parameter persistence
The matching distance is a computationally tractable topological measure...
12/12/2019 ∙ by Michael Kerber, et al. ∙
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Metric Spaces with Expensive Distances
In algorithms for finite metric spaces, it is common to assume that the ...
01/25/2019 ∙ by Michael Kerber, et al. ∙
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